• DocumentCode
    591052
  • Title

    Expertise identification and visualization

  • Author

    Naz, Sabiha ; Naeem, M. ; Afzal, Muhammad Tanvir ; Qayyum, Amna

  • Author_Institution
    Res. in Networks & Telecom (CoReNeT), M.A. Jinnah Univ., Islamabad, Pakistan
  • fYear
    2012
  • fDate
    27-29 Aug. 2012
  • Firstpage
    16
  • Lastpage
    20
  • Abstract
    Visual analysis of knowledge expertise is becoming an emerging field due to its vital and essential importance of discovering both expertise and experts in practical applications. There are numerous visualization techniques which can identify the knowledge domains of research groups and communities. In this paper, we visualize and identify the expertise of an individual author based on the analysis of the author´s profile and its available information in DBLP databases. We have presented an approach to analyze both knowledge domains of individual authors as well as topic wise experts. In order to validate and comparison, we use the Gephi visualization tool to observe what is similar (comparison) or difference (contrast) between our proposed methodology and Gephi.
  • Keywords
    data mining; data visualisation; distributed databases; expert systems; DBLP database; Gephi visualization tool; author profile; expertise identification; expertise visualization; knowledge domain; knowledge expertise; visual analysis; visualization technique; Algorithm design and analysis; Data visualization; Economics; Manuals; Reliability engineering; Reliability theory; Visualization; Expertise finder; SVG; domain knowledge; information analysis and visualization; knowledge discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Networking Technology (ICCNT), 2012 8th International Conference on
  • Conference_Location
    Gueongju
  • Print_ISBN
    978-1-4673-1326-1
  • Type

    conf

  • Filename
    6418340